During inference, we calculate our ASR output using either a viterbi decoder or a language model. For language modeling, we use the statistical based model, KenLM[1]} using the training text data and IndicCorp[2]} corpus. The size of the corpus is 1.03 Billion lines. The raw corpus is cleaned by removing all the punctuation symbols and foreign characters.
